🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
A curated list of resources for graph databases and graph computing tools
GraphIt - A High-Performance Domain Specific Language for Graph Analytics
A reading list for deep graph learning acceleration.
🔧 Python Random Graph Generator
A general-purpose, distributed graph random walk engine.
HugeGraph Computer - A distributed graph processing system for hugegraph (OLAP)
Intro to Julius Graph
A curated list of graph learning papers, articles, tutorials, slides and projects
GRIN is a proposed standard graph retrieval interface in GraphScope.
Labs of High Performance Computing in Tsinghua University
DGraph is a system for directed graph processing with taking advantage of the strongly connected component structure. On this system, most graph partitions are able to reach convergence in order and need to be loaded into the main memory for exactly once, getting much lower data access cost and faster convergence.
graph_data_parser for euler
c++ graph computing system for billions.
Graph computation in Clojure using spec
A distributed computing platform, designed to scale to millions of nodes and providing metaphoric abstractions.
Collection of Graiphic whitepapers covering SOTA, GO HW, GO GenAI, and GO IML. Together they outline a unified, sovereign AI stack connecting models, logic, knowledge, and hardware.
It is the compatibility engine behind the SOTA LabVIEW Deep Learning Toolkit, ensuring that every ONNX operator behaves consistently across hardware targets. It validates each node against multiple execution providers to guarantee reliable and predictable AI deployment.
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